Previous studies have demonstrated that there is a high possibility that the presence of certain built environment characteristics can influence health outcomes, especially those related to obesity and physical activity. We examined the associations between select neighborhood built environment indicators (crosswalks, non-single family home buildings, single-lane roads, and visible wires), and health outcomes, including obesity, diabetes, cardiovascular disease, and premature mortality, at the state level. We utilized 31,247,167 images collected from Google Street View to create indicators for neighborhood built environment characteristics using deep learning techniques. Adjusted linear regression models were used to estimate the associations between aggregated built environment indicators and state-level health outcomes. Our results indicated that the presence of a crosswalk was associated with reductions in obesity and premature mortality. Visible wires were associated with increased obesity, decreased physical activity, and increases in premature mortality, diabetes mortality, and cardiovascular mortality (however, these results were not significant). Non-single family homes were associated with decreased diabetes and premature mortality, as well as increased physical activity and park and recreational access. Single-lane roads were associated with increased obesity and decreased park access. The findings of our study demonstrated that built environment features may be associated with a variety of adverse health outcomes.
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http://dx.doi.org/10.3390/ijerph17103659 | DOI Listing |
bioRxiv
January 2025
Department of Chemistry, 409 McCormick Road, University of Virginia, Charlottesville, VA 22904.
Antibody production is central to protection against new pathogens and cancers, as well as to certain forms of autoimmunity. Antibodies often originate in the lymph node (LN), specifically at the extrafollicular border of B cell follicles, where T and B lymphocytes physically interact to drive B cell maturation into antibody-secreting plasmablasts. In vitro models of this process are sorely needed to predict aspects of the human immune response.
View Article and Find Full Text PDFFront Robot AI
January 2025
School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom.
Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electrochemical Impedance Spectroscopy (EIS) offers a non-invasive technique for determining battery degradation. However, automating this process in industrial settings remains a challenge.
View Article and Find Full Text PDFHeliyon
January 2025
Electrical and Information Engineering Department, Covenant University, P.M.B 1023, Ota, 112212, Ogun State, Nigeria.
Unplanned downtime in industrial sectors presents significant challenges, impacting both production efficiency and profitability. To tackle this issue, companies are actively working towards optimizing their operations and reducing disruptions that hinder their ability to meet customer demands and financial goals. Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Architecture and Built Environment, University of Nottingham, NG7 2RD, UK.
The demand for engineered composites particularly fiberglass reinforced polymers (FRP) is gaining momentum. The manufacturing of virgin input-resins for these composites involves the use of certain materials which poses serious environmental implication. This study has exclusively applied and investigated the Grey Forecasting model for management of FRP waste in developing countries to minimize the virgin inputs and likely environmental impacts.
View Article and Find Full Text PDFInt J Environ Health Res
January 2025
School of Architecture and Planning, Shenyang Jianzhu University, Shenyang, China.
Urban waterfront-built environments in cold regions are more conducive to public health than green spaces alone. However, their failure to meet health intervention expectations calls for further research to explore potential intervention pathways and mechanisms. This study conducted an in-depth investigation of Shenyang, a city in China's cold region.
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